CONTROLO 2020, 1st ed. 2021 Proceedings of the 14th APCA International Conference on Automatic Control and Soft Computing, July 1-3, 2020, Bragança, Portugal Lecture Notes in Electrical Engineering Series, Vol. 695
Coordonnateurs : Gonçalves José Alexandre, Braz-César Manuel, Coelho João Paulo
This book offers a timely and comprehensive snapshot of research and developments in the field of control engineering. Covering a wide range of theoretical and practical issues, the contributions describes a number of different control approaches, such adaptive control, fuzzy and neuro-fuzzy control, remote and robust control systems, real time an fault tolerant control, among others. Sensors and actuators, measurement systems, renewable energy systems, aerospace systems as well as industrial control and automation, are also comprehensively covered. Based on the proceedings of the 14th APCA International Conference on Automatic Control and Soft Computing, held on July 1-3, 2020, in Bragança, Portugal, the book offers a timely and thoroughly survey of the latest research in the field of control, and a source of inspiration for researchers and professionals worldwide.
Reports on the latest advances in control engineering
Strongly focuses on control and robotics for industrial applications
Offers a good balance of theories and practices
Date de parution : 09-2021
Ouvrage de 797 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 369,24 €
Ajouter au panierDate de parution : 09-2020
Ouvrage de 797 p.
15.5x23.5 cm
Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).
Prix indicatif 369,24 €
Ajouter au panierThème de CONTROLO 2020 :
Mots-clés :
Adaptive Control; Distributed Control; Structural Control; Networked Control; Fault Tolerant Control; IoT in Control; Power Systems Control; Model Predictive Control; Design of Control Systems; Control in agriculture; Road Traffic Control; Robotic control systems; Bioprocess Control; Supply Chain Modelling; Optimal Control Problems; Lyapunov Stability Analysis; Adaptive Nonlinear Controllers; Soft computing methods in control; Deep learning in control systems; Control Education